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MiniMax-H3-Acc-LoRAs
Опубликована
29 авг 2026

MiniMax-H3-Acc-LoRAs-sidecar

Генерация видеоТекст → видео3 профессии

MiniMax-H3-Acc-LoRAs-sidecar — набор sidecar-файлов с LoRA-обновлениями для ускорения модели MiniMax-H3 в ComfyUI.

1 977скачиваний за 30 дней6лайковвеса обновлены5 сен 2026

Бенчмарки

Как модель справилась с задачами пользователей ailist и что о ней публикуют открытые лидерборды

Публичные оценки

Из открытых лидербордов. Сравнивайте результаты одного теста при одинаковых условиях — отсутствие оценки не значит, что модель хуже.

В подключённых источниках результатов для этой модели пока нет.

Что умеет модель

Описание составлено по карточке модели и метаданным Hugging Face

Разработчик этого репозитория — fbjr; файлы являются конверсиями официальных Parallel Decoding Distillation LoRAs от alibaba-pai для MiniMaxAI MiniMax-H3. Самостоятельного обучения в репозитории не выполнялось. Модель предназначена для генерации видео со звуком из текста и совместной работы с checkpoint MiniMax-H3 через специальный узел ComfyUI MiniMaxH3PDDLoRA.

Sidecar содержит обновление transformer, модификацию timestep-модуляции и банк из 32 выходных голов, соответствующих участкам траектории. В штатном режиме количество sampler steps сокращается с 16 до 5–8 при близком качестве; 8 шагов указаны как дистиллированный режим, а 5–7 дают сопоставимый результат с меньшим временем. Поддерживаются варианты checkpoint FL2VA и Ref2VA, включая pruned-версии, а также квантованные checkpoint с экспериментальной настройкой unmerged_blocks. Для корректной работы требуются совместимые файл sidecar, checkpoint, узел ComfyUI и его расписание SIGMAS; обычный LoRA loader применяет только часть компонентов и может привести к снижению качества. Число шагов 4 даёт заметно более грубый результат, а некоторые другие значения заявлены как принятые, но непроверенные. Использование регулируется MiniMax-H3 Community License Agreement; лицензия указана как other.

Для каких профессий подходит3

Разделы каталога профессий, в задачах которых используется эта модель

Все профессии

Карточка модели

README от автора на Hugging Face, как он его опубликовал

Открыть на Hugging Face

MiniMax-H3 acceleration LoRAs for ComfyUI

MiniMax H3 normally takes 16 sampler steps to render a clip with sound. With these files and one ComfyUI node it takes 5 to 8, at close to the same quality. They are conversions of alibaba-pai/MiniMax-H3-Acc-LoRAs, the official Parallel Decoding Distillation LoRAs for MiniMaxAI/MiniMax-H3. Nothing was trained here.

Each file is a sidecar: it rides alongside your H3 checkpoint and carries three things the acceleration needs. A LoRA update for the transformer, an update to the timestep modulation, and a bank of 32 replacement output heads, one per slice of the trajectory, which is the actual trick. A stock LoRA loader applies only the first and silently renders at the wrong quality. The MiniMaxH3PDDLoRA node here applies all three and gives your sampler the schedule the heads were made for. Take the node and the files from the same revision; they are checked against each other.

What changed since the last update

2026-09-03what it means for you
The four files were regenerated. Weights are identical; each now carries a fingerprint of the checkpoint it was made for.The node refuses a file made for the wrong checkpoint instead of rendering something plausible at the wrong quality. Update the node folder and the files together; old and new do not mix.
New optional input unmerged_blocks, off by default.An accuracy knob for quantised checkpoints, at a render-time cost. Ignore it unless you are experimenting.

Quick start

  1. Read your checkpoint's filename. It says fl2va or ref2va, and it says pruned if it is. That is enough to pick a file below.

  2. Put that file in models/loras/.

  3. Put the folder comfyui_minimax_h3_pdd/ in custom_nodes/ and restart. Nothing beyond core ComfyUI; you do not need the source repo. If you already run ComfyUI-h3-explorations, you have this node; do not install it twice. If it fails to load with No module named 'pdd_observe', download it again: the first 2026-09-03 copy was incomplete.

    hf download fbjr/MiniMax-H3-Acc-LoRAs-sidecar --include "comfyui_minimax_h3_pdd/*" --local-dir ComfyUI/custom_nodes
    
  4. Open a graph from workflows/, or wire the node yourself:

UNETLoader ──► MiniMaxH3PDDLoRA ──MODEL──► BasicGuider ──► SamplerCustomAdvanced
                      └──────────SIGMAS───────────────────────────┘
  1. Set steps on the node. 5 is a good default; 8 is the distilled count.

Two rules: no BasicScheduler, wire the node's SIGMAS to the sampler instead, since a scheduler at the same count gives different sigmas than the heads were fused for; and set steps only on the node, which refuses a count it cannot fuse.

Which file

fileforinside
minimax_h3_fl2va_pdd_8step_comfy.safetensorspruned FL2VAbackbone LoRA, head bank, modulation update pre-solved into the pruned checkpoint's rank-8 basis
minimax_h3_fl2va_pdd_8step_adaln2688_comfy.safetensorsany FL2VAthe same, with the modulation update at full width
minimax_h3_ref2va_pdd_8step_comfy.safetensorspruned Ref2VAas the pruned FL2VA one, from the Ref2VA LoRA
minimax_h3_ref2va_pdd_8step_adaln2688_comfy.safetensorsany Ref2VAas the FL2VA adaln2688 one, from the Ref2VA LoRA

Not sure whether yours is pruned? Take adaln2688; it works on both. The two partitions share identical key sets, which is why each file carries a checkpoint fingerprint: without it a wrong pairing loads with no error.

Steps

The heads were distilled over a 32-point grid in blocks of width 4; a count is legal when its blocks tile the grid at widths 4 to 8.

stepsblocksversus 8
48, 8, 8, 8noticeably coarser; the last step covers most of the trajectory, and no other 4-block layout is legal
58, 8, 8, 4, 4within 2%
68, 8, 4, 4, 4, 4within 1%
78, 4, 4, 4, 4, 4, 4within 1%
84 x 8the distilled count

5 to 8 are a plateau; pick by time. 1, 2, 16 and 32 are accepted but untested; everything else is refused. Different counts give different clips, not better and worse versions of one.

Workflows

Four text-to-video-with-audio graphs on FL2VA, one dialogue scene. Repoint the loaders at your checkpoint and VAEs.

graphwhy
t2va_pdd_5step.jsonstart here
t2va_pdd_8step.jsonthe distilled count
t2va_pdd_4step.jsonfastest and visibly coarser, so you can see why
t2va_pdd_8step_heads_off.jsoncontrol: the checkpoint's own output heads

Knobs

Leave everything but steps alone unless you are experimenting.

inputdefaultwhat it does
steps8the step count, and what SIGMAS emits
strength1.0scales the whole file at once
patch_headsonthe replacement output heads; off is a control
head_strength-1, follow strengthscales the output heads alone; 0 runs the checkpoint's own
nfe0experiment only; 0 is the ordinary mode
unmerged_blocksemptyaccuracy knob for quantised checkpoints: named blocks apply their LoRA update at the call instead of merging it into the quantised weight
unmerged_strength, unmerged_windowfollow, emptyexperiment only; inert unless unmerged_blocks is set

Versions

Converter 3, regenerated 2026-09-03. The node folder's own README.md names the commit it was built from. Content hashes over sorted metadata and every tensor's bytes in key order:

filesha256 prefix
minimax_h3_fl2va_pdd_8step_comfy.safetensors115fcd82dbf2125a
minimax_h3_fl2va_pdd_8step_adaln2688_comfy.safetensorscd788e5e3ac7de3f
minimax_h3_ref2va_pdd_8step_comfy.safetensors102a83d1f57c1c2f
minimax_h3_ref2va_pdd_8step_adaln2688_comfy.safetensors7c402b48fc2a6b85

Under the hood

The published files use diffusers-side key names, so ComfyUI skips every tensor and renders an ordinary undistilled pass that looks like a weak LoRA. The conversion fuses q, k and v into ComfyUI's single projection with alpha scaled to match, renames two modules and swaps the SwiGLU halves, ships the 32 output heads verbatim and fuses them per block at load so one file serves every legal count, and carries the modulation update in full in the adaln2688 files or pre-solved into the pruned checkpoint's rank-8 basis in the others. If you write your own loader: the heads are verbatim, not deltas from head 0, which is the opposite of ComfyUI core's convention.

Limitations

Four steps cannot be improved, since 8, 8, 8, 8 is the only legal layout. Block width 8 is twice the trained width and unmeasured. Coarser steps degrade video and audio together; you hear it first. This is an 8-step distillation, and far from 8 is extrapolation.

Credits

  • MiniMax for MiniMax H3.
  • alibaba-pai for the Acc LoRAs these are converted from, and for the PDD method.
  • The node is generated from ComfyUI-h3-explorations, which is where to file issues and where the rest of the H3 work lives.
  • silveroxides, whose ComfyUI-UtilsCollection PDD implementation separates LoRA strength from head strength; the node that reads these files borrows that split.

Powered by MiniMax H3.


License

These are Model Derivatives of MiniMax H3 and are distributed under the MiniMax H3 Community License Agreement, the same terms as both upstream releases. The full agreement is in LICENSE; the required attribution is in NOTICE.

Two terms worth reading before you use these commercially or redistribute them, neither of which is unusual but both of which are easy to miss:

  • The agreement is territorially limited — worldwide excluding the Excluded Territories it names.
  • Commercial products or services generating over 20 million USD in yearly revenue need separate written authorisation from MiniMax.

If you redistribute these files or anything derived from them, the agreement requires you to pass on a copy of it, carry prominent notices on modified files, and include the NOTICE text. You may not relicense them under different terms.

MiniMax H3 is licensed under the MiniMax H3 Community License Agreement,
Copyright (c) 2026 MiniMax. All Rights Reserved.

Как запустить

На своей GPU в ailist. Цена — по текущим предложениям провайдеров

GPU в ailist

Универсальный рантайм

Нельзя запустить

Базовая модель alibaba-pai/MiniMax-H3-Acc-LoRAs выложена не в формате diffusers, адаптер не к чему подключить.

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